Business Strategies for a Resilient and Sustainable 2025
By Maurizio Di Paolo Emilio
Originally published by Embedded
In the industrial landscape, integrating AI into real-time systems will drive fast and accurate decisions in complex environments, such as factories and warehouses. Supported by edge AI technologies, robotics will assist in increasing safety by lowering workers’ exposure to dangerous environments.
The adoption of smart factories, powered by advanced technologies, will optimize energy efficiency and reduce environmental impact. Growing dedication to sustainability and sophisticated resource management techniques will change production and result in greener, more robust products.
Science, processing innovation, selection, application engineering and testing will always benefit from AI and materials databases. To develop tiny connections, expect a rise in materials science discoveries, especially in balancing strength, weight, conductivity, chemical resistance, sustainability and the utilization of biomaterials.
According to Keysight, artificial intelligence is revolutionizing software testing. Generative AI is replacing traditional test cases by autonomously defining and executing testing scopes. Predictive analytics are providing deeper insights, while AI is also being employed to rigorously test other AI systems, ensuring they adhere to global standards of ethics and reliability. This innovative approach tackles challenges across traditional software development and AI governance.
